Pedestrian flow in anylogic tutorial
Please contact the Principal Investigator, Nick Malleson. If the authors of the software would like us to amend any inaccuracies or errors with respect to their software we will be happy to. They are not a general assessment of the quality of the software we do not suggest that a library with a high rating is inherently better than one with a low rating, just that it may be more suitable for use in the DUST project. Note that these ratings indicate the suitability of the software for the research project. Models are given a rating out of three *’s. Sections for software which was not short listed may be incomplete. Software that have not been updated or appear to be no longer supported, have no documentation, or are unsuitable have been included in the list so that there is a record they have been checked but may not include much detail. uses a language popular with the research team, namely Python and/or Java. to add, change, remove agents whilst simulation is running) 4. able to run agent-based pedestrian simulations 2.
![pedestrian flow in anylogic tutorial pedestrian flow in anylogic tutorial](http://image1.slideserve.com/2277355/1-methods-for-visualizing-analyzing-pedestrian-flow3-n.jpg)
Search Google, GitHub, SourceForge, Wikipedia etc, and personal suggestions/recommendations. To review a number of different software libraries and platforms that can be used to create agent-based pedestrian simulations, in particular to find a library that will allow us to use data assimilation to update the state of the model at runtime.
![pedestrian flow in anylogic tutorial pedestrian flow in anylogic tutorial](https://i.ytimg.com/vi/acUIbqaz8h4/maxresdefault.jpg)
See the pdf here for a copy of this report with graphics included. Author: Thomas Richards, Data Science Intern, Leeds Institute for Data Science ( LIDA), University of Leeds.